MétaCan
Menu
Back to cohort
Record W4297631546 · doi:10.1215/9781478027003

Black Disability Politics

2022· book· en· W4297631546 on OpenAlexfundno aff
Sami Schalk

Bibliographic record

Venuenot available
Typebook
Languageen
FieldSocial Sciences
TopicRace, History, and American Society
Canadian institutionsnot available
FundersCollege of Engineering, Michigan State UniversityUniversity of CambridgeYork UniversityMichigan State UniversityUniversity of Wisconsin-Madison
KeywordsPoliticsRacismGender studiesMainstreamMedical model of disabilityDisability studiesContext (archaeology)SociologyInclusion (mineral)Political scienceRace (biology)White supremacyEconomic JusticeLawMedicineHistory

Abstract

fetched live from OpenAlex

In Black Disability Politics Sami Schalk explores how issues of disability have been and continue to be central to Black activism from the 1970s to the present. Schalk shows how Black people have long engaged with disability as a political issue deeply tied to race and racism. She points out that this work has not been recognized as part of the legacy of disability justice and liberation because Black disability politics differ in language and approach from the mainstream white-dominant disability rights movement. Drawing on the archives of the Black Panther Party and the National Black Women’s Health Project alongside interviews with contemporary Black disabled cultural workers, Schalk identifies common qualities of Black disability politics, including the need to ground public health initiatives in the experience and expertise of marginalized disabled people so that they can work in antiracist, feminist, and anti-ableist ways. Prioritizing an understanding of disability within the context of white supremacy, Schalk demonstrates that the work of Black disability politics not only exists but is essential to the future of Black liberation movements.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.024
Threshold uncertainty score0.079

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0120.006
Scholarly communication0.0050.005
Open science0.0000.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0240.005

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.021
GPT teacher head0.297
Teacher spread0.276 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations74
Published2022
Admission routes1
Has abstractyes

Explore more

Same topicRace, History, and American SocietyFrench-language works237,207